摘要

With the increasing penetration of wind sources, not only the fluctuation and intermittency of wind power, but also the correlations among wind farms should be considered in power system analysis. Nataf transformation and inverse Nataf transformation establish the relationship between independent standard normal space and correlated non-normal space. By incorporating inverse Nataf transformation, this paper proposed a novel three-point estimate method to solve the probabilistic load flow problems considering correlations among input variables. Accuracy and efficiency of the proposed algorithm has been validated by the comparative tests in a modified IEEE RTS 24 bus system and a modified IEEE 118 bus system.

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